{"id":"W4389127374","doi":"10.5151/2594-5327-15192","title":"APLICAÇÃO PRÁTICA DE REDES NEURAIS ARTIFICIAIS NO DESENVOLVIMENTO E ADEQUAÇÃO DE AÇOS LAMINADOS A QUENTE NA USIMINAS CUBATÃO","year":2009,"lang":"pt","type":"article","venue":"ABM Proceedings","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Humanities; Physics; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007570111,0.0009434872,0.000886874,0.0002665358,0.0003417552,0.000591674,0.0008602431,0.0006324914,0.0005066027],"category_scores_gemma":[0.0006532919,0.000961675,0.0003846184,0.0009017155,0.000133937,0.0006801693,0.0001479234,0.001037329,0.000537421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005590607,"about_ca_system_score_gemma":0.0001385431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001100674,"about_ca_topic_score_gemma":0.00001196412,"domain_scores_codex":[0.9954454,0.00003254044,0.0009564905,0.0009980188,0.0006395268,0.001928065],"domain_scores_gemma":[0.9978823,0.0001459611,0.000292225,0.0003867602,0.0004892732,0.0008034816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001523238,0.003580258,0.002095817,0.009260115,0.001657385,0.0007544105,0.02508005,0.005633145,0.7231971,0.1274941,0.02147092,0.07825343],"study_design_scores_gemma":[0.0009485474,0.0008575906,0.001981295,0.0007638495,0.0004217041,0.0001945954,0.001092073,0.9643408,0.01074402,0.007593023,0.009548484,0.001514006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9304274,0.002423885,0.02861349,0.002189349,0.0005300113,0.001419731,0.00004977265,0.001210792,0.03313557],"genre_scores_gemma":[0.9911523,0.0007296241,0.002586716,0.0009547512,0.0003747962,0.0000925865,0.00001981549,0.0001961223,0.003893269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9587077,"threshold_uncertainty_score":0.9992834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01557928770700972,"score_gpt":0.2490236913141209,"score_spread":0.2334444036071112,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}